code: def pytest_configure(config):
      cp.cuda.set_allocator(None)
      # max_gpu_memory: Capacity of the GPU memory in GB
      pytest.max_gpu_memory = get_gpu_memory()
      pytest.adapt_stress_test = "CUML_ADAPT_STRESS_TESTS" in os.environ
  
      # Load special hypothesis profiles for either quality or stress tests.
      # Note that the profile can be manually overwritten with the
      # --hypothesis-profile command line option in which case the settings
      # specified here will be ignored.
      if config.getoption("--run_stress"):
          hypothesis.settings.load_profile("stress")
      elif config.getoption("--run_quality"):
          hypothesis.settings.load_profile("quality")
      else:
          hypothesis.settings.load_profile("unit")
  
imports: from cuml.testing.utils import create_synthetic_dataset
  from sklearn.feature_extraction.text import CountVectorizer
  from sklearn import datasets
  from sklearn.datasets import make_regression
  from sklearn.datasets import make_classification
  from sklearn.datasets import fetch_california_housing
  from sklearn.datasets import fetch_20newsgroups
  from sklearn.utils import Bunch
  from datetime import timedelta
  from math import ceil
  import hypothesis
  from cuml.internals.safe_imports import gpu_only_import
  import pytest
  import os
  import subprocess
  import pandas
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 3 for calling a global function with example usage: pytest_configure(config) without return types